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This paper details the methodology and results of the EmotioNet challenge.
Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample per class
A. M. Martinez · 2002
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What the Face Reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (FACS), 2nd edition
P. Ekman and E. L. Rosenberg · 2006
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Facial action unit recognition by exploiting their dynamic and semantic relationships
Y. Tong, W. Liao, and Q. Ji · 2007
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An analysis of facial expression recognition under partial facial image occlusion
I. Kotsia, I. Buciu, and I. Pitas · 2008
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Support vector machines in face recognition with occlusions
H. Jia and A. M. Martinez · 2009
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
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Kernel optimization in discriminant analysis
D. You, O. C. Hamsici, and A. M. Martinez · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Earlier work this paper cites.
Compound facial expressions of emotion
S. Du, Y. Tao, and A. M. Martinez · 2014
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Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Cited alongside, same era.
Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2014
Cited alongside, same era.
Multiobjective optimization for model selection in kernel methods in regression
D. You, C. F. Benitez-Quiroz, and A. M. Martinez · 2014
Cited alongside, same era.
A novel locally linear knn model for visual recognition
Q. Liu and C. Liu · 2015
Cited alongside, same era.
Emotionet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild
C. F. Benitez-Quiroz, R. Srinivasan, and A. M. Martinez · 2016
Cited alongside, same era.
Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
The megaface benchmark: 1 million faces for recognition at scale
I. Kemelmacher-Shlizerman, S. M. Seitz, D. Miller, and E. Brossard · 2016
Later among the works it cites.
A neural basis of facial action recognition in humans
R. Srinivasan, J. D. Golomb, and A. M. Martine · 2016
Later among the works it cites.
Facial affect “in the wild”
S. Zafeiriou, A. Papaioannou, I. Kotsia, M. Nicolaou, and G. Zhao · 2016
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Joint patch and multi-label learning for facial action unit and holistic expression recognition
K. Zhao, W.-S. Chu, F. De la Torre, J. F. Cohn, and H. Zhang · 2016
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A simple, fast and highly-accurate algorithm to recover 3d shape from 2d landmarks on a single image
R. Zhao, Y. Wang, and A. M. Martinez · 2016
Later among the works it cites.
Computational models of face perception
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C. A. Corneanu, M. O. Simón, J. F. Cohn, and S. E. Guerrero · 2016
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Emotion recognition in the wild
A. Dhall, R. Goecke, T. Gedeon, and N. Sebe · 2016
Cited alongside, same era.
The first 3d face alignment in the wild (3dfaw) challenge
L. A. Jeni, S. Tulyakov, L. Yin, N. Sebe, and J. F. Cohn · 2016
Cited alongside, same era.
A. M. Martinez · 2017
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Lifting from the deep: Convolutional 3d pose estimation from a single image
D. Tome, C. Russell, and L. Agapito · 2017
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Transferring face verification nets to pain and expression regression
F. Wang, X. Xiang, C. Liu, T. D. Tran, A. Reiter, G. D. Hager, H. Quon, J. Cheng, and A. L. Yuille · 2017
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